finetuned_byT5base_multi

This model is a fine-tuned version of google/byt5-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.7726
• Chrf++: 61.5912
• Gen Len: 112.0672

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 8
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 64
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 13

Training results

Training Loss	Epoch	Step	Validation Loss	Chrf++	Gen Len
3.1885	1.9967	1052	0.6582	51.9871	111.2477
1.2729	3.9929	2104	0.6439	62.7503	105.3778
0.8070	5.9891	3156	0.7583	64.0368	103.529
0.6037	7.9853	4208	0.8029	62.3811	107.0042
0.4911	9.9815	5260	0.8241	63.2761	102.2351
0.4495	11.9777	6312	0.7726	61.5912	112.0672

Framework versions

• Transformers 5.5.0
• Pytorch 2.11.0+cu130
• Datasets 4.3.0
• Tokenizers 0.22.2